To solve the problem, we examine the properties and relationships of the specified metric spaces. We have two metrics, \(d_1\) and \(d_2\), defined on \(\mathbb{R}^2\). The metric \(d_1\) is the Manhattan distance, while \(d_2\) is a normalized version of \(d_1\).
Step 1: Understand the metrics
The metric \(d_1((x_1,x_2),(y_1,y_2))\) is defined as:
\[ d_1((x_1,x_2),(y_1,y_2)) = |x_1 - y_1| + |x_2 - y_2| \]
For \(d_2\), the formula is:
\[ d_2((x_1,x_2),(y_1,y_2)) = \frac{d_1((x_1,x_2),(y_1,y_2))}{1 + d_1((x_1,x_2),(y_1,y_2))} \]
Step 2: Set up the conditions
We are given that the open ball centered at \((0,0)\) with radius \(\frac{1}{7}\) in \((\mathbb{R}^2,d_1)\) is equivalent to the open ball centered at \((0,0)\) with radius \(\frac{1}{\alpha}\) in \((\mathbb{R}^2,d_2)\).
Step 3: Calculate the equivalence of radii
The radius of the open ball in the \(d_1\) metric is \(\frac{1}{7}\), so we have:
\[ d_1((x_1,x_2),(0,0)) = |x_1| + |x_2| < \frac{1}{7} \]
For metric \(d_2\), the ball's radius is \(\frac{1}{\alpha}\):
\[ \frac{|x_1| + |x_2|}{1 + |x_1| + |x_2|} < \frac{1}{\alpha} \]
Equating the two conditions, set \(\frac{1}{\alpha}\) equal to the transformed radius of \(\frac{1}{7}\):
\[ \frac{r_1}{1 + r_1} = \frac{1}{7} \]
Substitute \(r_1 = \frac{1}{7}\):
\[ \frac{\frac{1}{7}}{1 + \frac{1}{7}} = \frac{\frac{1}{7}}{\frac{8}{7}} = \frac{1}{8} \]
We learn the radius \(r_2 = \frac{1}{\alpha} = \frac{1}{8}\), so \(\alpha = 8\).
Step 4: Validate against the range
The calculated value \(\alpha = 8\) is within the provided range [8,8], confirming its validity.
Thus, the integer value of \(\alpha\) is \(8\).